AI SCORE 8.5

Senior Data Scientist - AI/​ML Innovations for Retail

$120K–$150K/year

About the Role

We are seeking a Senior Data Scientist to join our innovative team at Apparel Group, focusing on AI/ML initiatives. This remote Data Scientist position allows you to lead advanced machine learning projects that significantly impact our retail operations. You will design and deliver AI-driven solutions that enhance forecasting, workforce optimization, and customer experience.

What You'll Do

  • Design, develop, and deploy scalable ML models for forecasting, optimization, and NLP use cases.
  • Lead the end-to-end lifecycle of data science projects, including problem framing, data exploration, model building, evaluation, and deployment.
  • Explore and implement LLM and agentic AI applications to drive innovation in customer experience and workforce productivity.
  • Partner with data engineering teams to build robust data pipelines and ensure model reliability in production.
  • Mentor and guide junior data scientists and analysts, providing code reviews, best practices, and technical direction.
  • Work closely with product managers and business teams to translate business needs into data science solutions.
  • Communicate complex findings to non-technical stakeholders through visualizations, dashboards, and storytelling.
  • Stay ahead of the curve with the latest research and tools in ML/AI and recommend adoption where relevant.

Requirements

  • 5+ years of experience in data science or applied machine learning, preferably in retail or e-commerce.
  • Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
  • Strong background in ML algorithms, time series forecasting, optimization, and statistics.
  • Expertise in SQL and experience with large-scale data processing frameworks like Spark or PySpark.
  • Proven experience in taking ML models from concept to production deployment.
  • Strong problem-solving skills and ability to work with ambiguity.
  • Excellent communication and stakeholder management skills.

Nice to Have

  • Hands-on experience with LLMs (OpenAI, HuggingFace, LangChain, RAG pipelines).
  • Experience with agentic AI frameworks and multi-agent systems.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
  • Knowledge of optimization solvers (OR-Tools, Gurobi, CPLEX) for scheduling/resource allocation.

What We Offer

  • Competitive salary with performance-based bonuses.
  • Flexible remote work environment.
  • Opportunities for professional development and continuous learning.
  • Collaborative and innovative team culture.
  • Health and wellness benefits.
Why This Job8.5 of 10

This Senior Data Scientist role at Apparel Group offers a unique opportunity to lead AI/ML initiatives in a remote setting, with a competitive salary and a focus on innovation.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python for data manipulation and analysis, with practical experience using libraries such as Pandas, NumPy, and scikit-learn to build predictive models and perform data cleaning.

Strong capability in deploying machine learning models using PyTorch and TensorFlow, coupled with a deep understanding of NLP techniques to drive insights from unstructured data in retail contexts.

A proactive mindset with a focus on continuous learning and adapting to new AI/ML technologies, demonstrating the ability to work independently in a remote setting while managing multiple projects efficiently.

Learning Resources

Python Data Science Handbookguide

Career Path

Senior Data Scientist - AI/ML Innovations for Retail(Now)Lead Data Scientist(1-2 years)Head of Data Science(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
21.5%
AI Adoption in Retail
78%
Investment in AI/ML
+150%
Labour Demand for Data Scientists
+25%
Avg Salary for Senior Data Scientists
$130K

Skills & Requirements

Required
PythonPandasNumPy
Growing in Demand
Deep LearningBig Data AnalyticsMLOps
Declining
R ProgrammingHadoop

Domain Trends

Rise of Personalization in Retail
Retailers are increasingly leveraging AI/ML for personalized shopping experiences, with 63% of companies reporting improved customer engagement.
Shift Towards Automated Decision-Making
Over 50% of retail businesses are adopting AI-driven tools for inventory management and customer service, leading to a 30% reduction in operational costs.
Increased Use of NLP for Customer Insights
With 70% of retailers using NLP for sentiment analysis, the demand for data scientists skilled in NLP is rising significantly, expected to grow by 40% in the next two years.

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